{"id":"W3089057014","doi":"10.1002/lno.11606","title":"The relevance of environment vs. composition on dissolved organic matter degradation in freshwaters","year":2020,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Integrated Water Resources Management","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Ministerio de Ciencia e Innovación; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; European Commission; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Degradation (telecommunications); Environmental chemistry; Environmental science; Composition (language); Dissolved organic carbon; Organic matter; Relevance (law); Chemistry; Ecology; Biology; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007694579,0.0000945294,0.00009395506,0.00003679225,0.00008640567,0.00001081402,0.000143867,0.00004824247,0.0002064939],"category_scores_gemma":[0.000003840596,0.00006508471,0.00002865514,0.0001484031,0.0002857078,0.00005492302,0.0000905197,0.0001262813,0.0001379281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002017411,"about_ca_system_score_gemma":5.506596e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001574115,"about_ca_topic_score_gemma":0.00002726653,"domain_scores_codex":[0.999284,0.00007373965,0.0001664439,0.0002095949,0.0001048173,0.0001614448],"domain_scores_gemma":[0.9997309,0.00003967813,0.00006564092,0.0001300643,0.000001347494,0.00003232576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003909724,0.00009527249,0.9733,0.00001610935,0.00003468004,0.000007535854,0.001482143,0.000849989,0.01990714,0.0003423553,0.001745608,0.001828131],"study_design_scores_gemma":[0.0008697813,0.0007073589,0.9390084,0.00003192897,0.00003078164,0.0000025923,0.00038841,0.002019177,0.03570195,0.0009864044,0.01999718,0.0002560619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934611,0.00004364873,0.0002150912,0.005391991,0.00002850169,0.000166156,0.000002761062,0.00001222831,0.0006784906],"genre_scores_gemma":[0.9983879,0.0001571993,0.0001382368,0.001242144,0.000005503431,0.00000672803,0.00001104758,0.000006813466,0.0000444007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0342917,"threshold_uncertainty_score":0.2654077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00537955022432669,"score_gpt":0.1727203671048029,"score_spread":0.1673408168804763,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}